Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	9709
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.7 MiB
Average record size in memory	184.0 B

Variable types

Numeric	9
Categorical	14

Alerts

`Income_type` is highly overall correlated with `Unemployed`	High correlation
`Occupation_type` is highly overall correlated with `Unemployed`	High correlation
`Unemployed` is highly overall correlated with `Income_type` and 1 other fields	High correlation
`term_deposit` is highly imbalanced (78.2%)	Imbalance
`Education_type` is highly imbalanced (51.5%)	Imbalance
`Housing_type` is highly imbalanced (73.5%)	Imbalance
`ID` has unique values	Unique
`tenure` has 407 (4.2%) zeros	Zeros
`balance` has 3524 (36.3%) zeros	Zeros
`Kids` has 6819 (70.2%) zeros	Zeros
`Years_employed` has 1696 (17.5%) zeros	Zeros

Reproduction

Analysis started	2024-10-07 13:11:20.194762
Analysis finished	2024-10-07 13:12:02.715326
Duration	42.52 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

ID
Real number (ℝ)

UNIQUE

Distinct	9709
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5076104.7

Minimum	5008804
Maximum	5150479
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	5008804
5-th percentile	5021595.2
Q1	5036955
median	5069449
Q3	5112986
95-th percentile	5143323.6
Maximum	5150479
Range	141675
Interquartile range (IQR)	76031

Descriptive statistics

Standard deviation	40802.696
Coefficient of variation (CV)	0.0080381904
Kurtosis	-1.2079678
Mean	5076104.7
Median Absolute Deviation (MAD)	35509
Skewness	0.12677004
Sum	4.92839 × 10¹⁰
Variance	1.66486 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5008804	1	< 0.1%
5097146	1	< 0.1%
5097151	1	< 0.1%
5097154	1	< 0.1%
5097155	1	< 0.1%
5097157	1	< 0.1%
5097158	1	< 0.1%
5097163	1	< 0.1%
5097165	1	< 0.1%
5097176	1	< 0.1%
Other values (9699)	9699	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5008804	1	< 0.1%
5008806	1	< 0.1%
5008808	1	< 0.1%
5008812	1	< 0.1%
5008815	1	< 0.1%
5008819	1	< 0.1%
5008825	1	< 0.1%
5008827	1	< 0.1%
5008830	1	< 0.1%
5008834	1	< 0.1%

Value	Count	Frequency (%)
5150479	1	< 0.1%
5150467	1	< 0.1%
5150459	1	< 0.1%
5150451	1	< 0.1%
5150428	1	< 0.1%
5150410	1	< 0.1%
5150400	1	< 0.1%
5150388	1	< 0.1%
5150338	1	< 0.1%
5150337	1	< 0.1%

Exited
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

0	7726
1	1983

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

Most occurring characters

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7726	79.6%
1	1983	20.4%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Male	5283
Female	4426

Length

Max length	6
Median length	4
Mean length	4.9117314
Min length	4

Characters and Unicode

Total characters	47688
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	5283	54.4%
Female	4426	45.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	5283	54.4%
female	4426	45.6%

Most occurring characters

Value	Count	Frequency (%)
e	14135	29.6%
a	9709	20.4%
l	9709	20.4%
M	5283	11.1%
F	4426	9.3%
m	4426	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37979	79.6%
Uppercase Letter	9709	20.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14135	37.2%
a	9709	25.6%
l	9709	25.6%
m	4426	11.7%

Uppercase Letter

Value	Count	Frequency (%)
M	5283	54.4%
F	4426	45.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47688	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14135	29.6%
a	9709	20.4%
l	9709	20.4%
M	5283	11.1%
F	4426	9.3%
m	4426	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47688	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14135	29.6%
a	9709	20.4%
l	9709	20.4%
M	5283	11.1%
F	4426	9.3%
m	4426	9.3%

age
Real number (ℝ)

Distinct	70
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.936348

Minimum	18
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	18
5-th percentile	25
Q1	32
median	37
Q3	44
95-th percentile	60
Maximum	92
Range	74
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.495229
Coefficient of variation (CV)	0.26954838
Kurtosis	1.382193
Mean	38.936348
Median Absolute Deviation (MAD)	6
Skewness	1.0104706
Sum	378033
Variance	110.14984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37	470	4.8%
35	464	4.8%
38	463	4.8%
36	437	4.5%
34	435	4.5%
33	428	4.4%
40	412	4.2%
32	408	4.2%
39	405	4.2%
31	395	4.1%
Other values (60)	5392	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	20	0.2%
19	27	0.3%
20	39	0.4%
21	50	0.5%
22	82	0.8%
23	96	1.0%
24	127	1.3%
25	150	1.5%
26	193	2.0%
27	202	2.1%

Value	Count	Frequency (%)
92	2	< 0.1%
88	1	< 0.1%
85	1	< 0.1%
84	2	< 0.1%
83	1	< 0.1%
82	1	< 0.1%
81	4	< 0.1%
80	3	< 0.1%
79	4	< 0.1%
78	4	< 0.1%

term_deposit
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

0	9370
1	339

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9370	96.5%
1	339	3.5%

Car
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

0	6139
1	3570

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Most occurring characters

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6139	63.2%
1	3570	36.8%

Property
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

1	6520
0	3189

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Most occurring characters

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6520	67.2%
0	3189	32.8%

Geography
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Greece	4870
Netherlands	2429
Spain	2410

Length

Max length	11
Median length	6
Mean length	7.0026779
Min length	5

Characters and Unicode

Total characters	67989
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Greece
2nd row	Spain
3rd row	Greece
4th row	Greece
5th row	Spain

Common Values

Value	Count	Frequency (%)
Greece	4870	50.2%
Netherlands	2429	25.0%
Spain	2410	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
greece	4870	50.2%
netherlands	2429	25.0%
spain	2410	24.8%

Most occurring characters

Value	Count	Frequency (%)
e	19468	28.6%
r	7299	10.7%
G	4870	7.2%
c	4870	7.2%
a	4839	7.1%
n	4839	7.1%
N	2429	3.6%
t	2429	3.6%
h	2429	3.6%
l	2429	3.6%
Other values (5)	12088	17.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58280	85.7%
Uppercase Letter	9709	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19468	33.4%
r	7299	12.5%
c	4870	8.4%
a	4839	8.3%
n	4839	8.3%
t	2429	4.2%
h	2429	4.2%
l	2429	4.2%
d	2429	4.2%
s	2429	4.2%
Other values (2)	4820	8.3%

Uppercase Letter

Value	Count	Frequency (%)
G	4870	50.2%
N	2429	25.0%
S	2410	24.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67989	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19468	28.6%
r	7299	10.7%
G	4870	7.2%
c	4870	7.2%
a	4839	7.1%
n	4839	7.1%
N	2429	3.6%
t	2429	3.6%
h	2429	3.6%
l	2429	3.6%
Other values (5)	12088	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67989	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	19468	28.6%
r	7299	10.7%
G	4870	7.2%
c	4870	7.2%
a	4839	7.1%
n	4839	7.1%
N	2429	3.6%
t	2429	3.6%
h	2429	3.6%
l	2429	3.6%
Other values (5)	12088	17.8%

cr_score
Real number (ℝ)

Distinct	460
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	650.36914

Minimum	350
Maximum	850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	350
5-th percentile	489
Q1	583
median	652
Q3	717
95-th percentile	813
Maximum	850
Range	500
Interquartile range (IQR)	134

Descriptive statistics

Standard deviation	96.74427
Coefficient of variation (CV)	0.14875286
Kurtosis	-0.41984632
Mean	650.36914
Median Absolute Deviation (MAD)	67
Skewness	-0.069411833
Sum	6314434
Variance	9359.4537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
850	231	2.4%
678	58	0.6%
655	53	0.5%
667	50	0.5%
705	50	0.5%
684	50	0.5%
670	49	0.5%
651	49	0.5%
663	47	0.5%
683	47	0.5%
Other values (450)	9025	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
350	5	0.1%
351	1	< 0.1%
358	1	< 0.1%
359	1	< 0.1%
363	1	< 0.1%
365	1	< 0.1%
367	1	< 0.1%
373	1	< 0.1%
376	2	< 0.1%
382	1	< 0.1%

Value	Count	Frequency (%)
850	231	2.4%
849	8	0.1%
848	5	0.1%
847	6	0.1%
846	5	0.1%
845	6	0.1%
844	7	0.1%
843	2	< 0.1%
842	7	0.1%
841	11	0.1%

tenure
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0080338

Minimum	0
Maximum	10
Zeros	407
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.890235
Coefficient of variation (CV)	0.57711971
Kurtosis	-1.163669
Mean	5.0080338
Median Absolute Deviation (MAD)	2
Skewness	0.0097615522
Sum	48623
Variance	8.3534583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2	1022	10.5%
1	999	10.3%
7	997	10.3%
8	993	10.2%
5	986	10.2%
3	977	10.1%
9	958	9.9%
4	957	9.9%
6	946	9.7%
10	467	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	407	4.2%
1	999	10.3%
2	1022	10.5%
3	977	10.1%
4	957	9.9%
5	986	10.2%
6	946	9.7%
7	997	10.3%
8	993	10.2%
9	958	9.9%

Value	Count	Frequency (%)
10	467	4.8%
9	958	9.9%
8	993	10.2%
7	997	10.3%
6	946	9.7%
5	986	10.2%
4	957	9.9%
3	977	10.1%
2	1022	10.5%
1	999	10.3%

balance
Real number (ℝ)

ZEROS

Distinct	6185
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76300.816

Minimum	0
Maximum	250898.09
Zeros	3524
Zeros (%)	36.3%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	97001.36
Q3	127616.56
95-th percentile	162618.71
Maximum	250898.09
Range	250898.09
Interquartile range (IQR)	127616.56

Descriptive statistics

Standard deviation	62403.395
Coefficient of variation (CV)	0.81786013
Kurtosis	-1.4929338
Mean	76300.816
Median Absolute Deviation (MAD)	47160.94
Skewness	-0.13706484
Sum	7.4080462 × 10⁸
Variance	3.8941837 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3524	36.3%
130170.82	2	< 0.1%
115576.44	1	< 0.1%
139626.01	1	< 0.1%
115761.51	1	< 0.1%
116085.06	1	< 0.1%
63832.43	1	< 0.1%
100895.54	1	< 0.1%
81818.49	1	< 0.1%
127510.99	1	< 0.1%
Other values (6175)	6175	63.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3524	36.3%
3768.69	1	< 0.1%
12459.19	1	< 0.1%
14262.8	1	< 0.1%
16893.59	1	< 0.1%
23503.31	1	< 0.1%
24043.45	1	< 0.1%
27288.43	1	< 0.1%
27517.15	1	< 0.1%
27755.97	1	< 0.1%

Value	Count	Frequency (%)
250898.09	1	< 0.1%
238387.56	1	< 0.1%
222267.63	1	< 0.1%
221532.8	1	< 0.1%
216109.88	1	< 0.1%
214346.96	1	< 0.1%
213146.2	1	< 0.1%
212778.2	1	< 0.1%
212696.32	1	< 0.1%
212692.97	1	< 0.1%

Unemployed
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

0	8013
1	1696

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Most occurring characters

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8013	82.5%
1	1696	17.5%

Kids
Real number (ℝ)

ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.42280358

Minimum	0
Maximum	19
Zeros	6819
Zeros (%)	70.2%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.76701891
Coefficient of variation (CV)	1.8141259
Kurtosis	48.027416
Mean	0.42280358
Median Absolute Deviation (MAD)	0
Skewness	3.6185747
Sum	4105
Variance	0.58831801
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	6819	70.2%
1	1886	19.4%
2	852	8.8%
3	126	1.3%
4	18	0.2%
5	5	0.1%
14	1	< 0.1%
19	1	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6819	70.2%
1	1886	19.4%
2	852	8.8%
3	126	1.3%
4	18	0.2%
5	5	0.1%
7	1	< 0.1%
14	1	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
19	1	< 0.1%
14	1	< 0.1%
7	1	< 0.1%
5	5	0.1%
4	18	0.2%
3	126	1.3%
2	852	8.8%
1	1886	19.4%
0	6819	70.2%

Acc_length
Real number (ℝ)

Distinct	61
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.270059

Minimum	0
Maximum	60
Zeros	57
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	13
median	26
Q3	41
95-th percentile	56
Maximum	60
Range	60
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	16.648057
Coefficient of variation (CV)	0.61048849
Kurtosis	-1.0899609
Mean	27.270059
Median Absolute Deviation (MAD)	14
Skewness	0.21630047
Sum	264765
Variance	277.1578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	219	2.3%
13	216	2.2%
7	215	2.2%
16	212	2.2%
5	211	2.2%
15	210	2.2%
18	206	2.1%
39	201	2.1%
6	197	2.0%
3	196	2.0%
Other values (51)	7626	78.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	57	0.6%
1	136	1.4%
2	167	1.7%
3	196	2.0%
4	183	1.9%
5	211	2.2%
6	197	2.0%
7	215	2.2%
8	189	1.9%
9	185	1.9%

Value	Count	Frequency (%)
60	100	1.0%
59	98	1.0%
58	112	1.2%
57	90	0.9%
56	114	1.2%
55	101	1.0%
54	102	1.1%
53	115	1.2%
52	104	1.1%
51	136	1.4%

Total_income
Real number (ℝ)

Distinct	263
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	181228.19

Minimum	27000
Maximum	1575000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	27000
5-th percentile	67500
Q1	112500
median	157500
Q3	225000
95-th percentile	360000
Maximum	1575000
Range	1548000
Interquartile range (IQR)	112500

Descriptive statistics

Standard deviation	99277.305
Coefficient of variation (CV)	0.54780276
Kurtosis	15.780787
Mean	181228.19
Median Absolute Deviation (MAD)	45000
Skewness	2.6593626
Sum	1.7595445 × 10⁹
Variance	9.8559833 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135000	1139	11.7%
180000	845	8.7%
112500	843	8.7%
157500	829	8.5%
225000	750	7.7%
202500	558	5.7%
90000	535	5.5%
270000	426	4.4%
67500	265	2.7%
315000	232	2.4%
Other values (253)	3287	33.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27000	2	< 0.1%
29250	1	< 0.1%
30150	1	< 0.1%
31500	3	< 0.1%
31531.5	1	< 0.1%
31950	1	< 0.1%
32400	1	< 0.1%
33300	2	< 0.1%
33750	1	< 0.1%
36000	4	< 0.1%

Value	Count	Frequency (%)
1575000	1	< 0.1%
1350000	1	< 0.1%
1125000	3	< 0.1%
990000	1	< 0.1%
945000	1	< 0.1%
900000	10	0.1%
810000	6	0.1%
787500	1	< 0.1%
765000	2	< 0.1%
742500	1	< 0.1%

credit_card
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

1	6841
0	2868

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Most occurring characters

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6841	70.5%
0	2868	29.5%

Years_employed
Real number (ℝ)

ZEROS

Distinct	3637
Distinct (%)	37.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6647302

Minimum	0
Maximum	43.020733
Zeros	1696
Zeros (%)	17.5%
Negative	0
Negative (%)	0.0%
Memory size	76.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.92815048
median	3.7618842
Q3	8.2000315
95-th percentile	18.792994
Maximum	43.020733
Range	43.020733
Interquartile range (IQR)	7.271881

Descriptive statistics

Standard deviation	6.3422413
Coefficient of variation (CV)	1.1196017
Kurtosis	4.2228184
Mean	5.6647302
Median Absolute Deviation (MAD)	3.2717989
Skewness	1.8449651
Sum	54998.865
Variance	40.224024
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1696	17.5%
1.09790071	17	0.2%
0.547581401	17	0.2%
0.344976283	14	0.1%
2.798140961	14	0.1%
0.681738845	13	0.1%
1.839873509	13	0.1%
0.679000938	13	0.1%
1.259437223	13	0.1%
4.213638884	12	0.1%
Other values (3627)	7887	81.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1696	17.5%
0.046544419	1	< 0.1%
0.117730001	1	< 0.1%
0.177963955	1	< 0.1%
0.180701862	1	< 0.1%
0.19165349	2	< 0.1%
0.194391397	1	< 0.1%
0.199867212	3	< 0.1%
0.213556747	1	< 0.1%
0.216294654	1	< 0.1%

Value	Count	Frequency (%)
43.0207328	1	< 0.1%
42.87836164	1	< 0.1%
41.69011	1	< 0.1%
41.26573441	1	< 0.1%
41.17264557	1	< 0.1%
40.75922161	1	< 0.1%
40.54840277	1	< 0.1%
40.45257603	1	< 0.1%
39.79821625	1	< 0.1%
39.62572811	1	< 0.1%

Income_type
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Working	4960
Commercial associate	2312
Pensioner	1712
State servant	722
Student	3

Length

Max length	20
Median length	7
Mean length	10.894531
Min length	7

Characters and Unicode

Total characters	105775
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Working
2nd row	Working
3rd row	Commercial associate
4th row	Pensioner
5th row	Working

Common Values

Value	Count	Frequency (%)
Working	4960	51.1%
Commercial associate	2312	23.8%
Pensioner	1712	17.6%
State servant	722	7.4%
Student	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
working	4960	38.9%
commercial	2312	18.1%
associate	2312	18.1%
pensioner	1712	13.4%
state	722	5.7%
servant	722	5.7%
student	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	11296	10.7%
i	11296	10.7%
r	9706	9.2%
e	9495	9.0%
n	9109	8.6%
a	8380	7.9%
s	7058	6.7%
W	4960	4.7%
k	4960	4.7%
g	4960	4.7%
Other values (11)	24555	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	93032	88.0%
Uppercase Letter	9709	9.2%
Space Separator	3034	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	11296	12.1%
i	11296	12.1%
r	9706	10.4%
e	9495	10.2%
n	9109	9.8%
a	8380	9.0%
s	7058	7.6%
k	4960	5.3%
g	4960	5.3%
c	4624	5.0%
Other values (6)	12148	13.1%

Uppercase Letter

Value	Count	Frequency (%)
W	4960	51.1%
C	2312	23.8%
P	1712	17.6%
S	725	7.5%

Space Separator

Value	Count	Frequency (%)
	3034	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102741	97.1%
Common	3034	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	11296	11.0%
i	11296	11.0%
r	9706	9.4%
e	9495	9.2%
n	9109	8.9%
a	8380	8.2%
s	7058	6.9%
W	4960	4.8%
k	4960	4.8%
g	4960	4.8%
Other values (10)	21521	20.9%

Common

Value	Count	Frequency (%)
	3034	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	11296	10.7%
i	11296	10.7%
r	9706	9.2%
e	9495	9.0%
n	9109	8.6%
a	8380	7.9%
s	7058	6.7%
W	4960	4.7%
k	4960	4.7%
g	4960	4.7%
Other values (11)	24555	23.2%

Education_type
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Secondary / secondary special	6761
Higher education	2457
Incomplete higher	371
Lower secondary	114
Academic degree	6

Length

Max length	29
Median length	29
Mean length	25.078587
Min length	15

Characters and Unicode

Total characters	243488
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Higher education
2nd row	Secondary / secondary special
3rd row	Secondary / secondary special
4th row	Higher education
5th row	Higher education

Common Values

Value	Count	Frequency (%)
Secondary / secondary special	6761	69.6%
Higher education	2457	25.3%
Incomplete higher	371	3.8%
Lower secondary	114	1.2%
Academic degree	6	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
secondary	13636	41.4%
	6761	20.5%
special	6761	20.5%
higher	2828	8.6%
education	2457	7.5%
incomplete	371	1.1%
lower	114	0.3%
academic	6	< 0.1%
degree	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	26562	10.9%
c	23237	9.5%
	23231	9.5%
a	22860	9.4%
r	16584	6.8%
o	16578	6.8%
n	16464	6.8%
d	16105	6.6%
y	13636	5.6%
s	13636	5.6%
Other values (15)	54595	22.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	203787	83.7%
Space Separator	23231	9.5%
Uppercase Letter	9709	4.0%
Other Punctuation	6761	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	26562	13.0%
c	23237	11.4%
a	22860	11.2%
r	16584	8.1%
o	16578	8.1%
n	16464	8.1%
d	16105	7.9%
y	13636	6.7%
s	13636	6.7%
i	12052	5.9%
Other values (8)	26073	12.8%

Uppercase Letter

Value	Count	Frequency (%)
S	6761	69.6%
H	2457	25.3%
I	371	3.8%
L	114	1.2%
A	6	0.1%

Space Separator

Value	Count	Frequency (%)
	23231	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	6761	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	213496	87.7%
Common	29992	12.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	26562	12.4%
c	23237	10.9%
a	22860	10.7%
r	16584	7.8%
o	16578	7.8%
n	16464	7.7%
d	16105	7.5%
y	13636	6.4%
s	13636	6.4%
i	12052	5.6%
Other values (13)	35782	16.8%

Common

Value	Count	Frequency (%)
	23231	77.5%
/	6761	22.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	243488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	26562	10.9%
c	23237	9.5%
	23231	9.5%
a	22860	9.4%
r	16584	6.8%
o	16578	6.8%
n	16464	6.8%
d	16105	6.6%
y	13636	5.6%
s	13636	5.6%
Other values (15)	54595	22.4%

Family_status
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Married	6530
Single / not married	1359
Civil marriage	836
Separated	574
Widow	410

Length

Max length	20
Median length	7
Mean length	9.4561747
Min length	5

Characters and Unicode

Total characters	91810
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Civil marriage
2nd row	Married
3rd row	Single / not married
4th row	Separated
5th row	Married

Common Values

Value	Count	Frequency (%)
Married	6530	67.3%
Single / not married	1359	14.0%
Civil marriage	836	8.6%
Separated	574	5.9%
Widow	410	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	7889	54.0%
single	1359	9.3%
	1359	9.3%
not	1359	9.3%
civil	836	5.7%
marriage	836	5.7%
separated	574	3.9%
widow	410	2.8%

Most occurring characters

Value	Count	Frequency (%)
r	18024	19.6%
i	12166	13.3%
e	11232	12.2%
a	10709	11.7%
d	8873	9.7%
M	6530	7.1%
	4913	5.4%
n	2718	3.0%
g	2195	2.4%
l	2195	2.4%
Other values (10)	12255	13.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75829	82.6%
Uppercase Letter	9709	10.6%
Space Separator	4913	5.4%
Other Punctuation	1359	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	18024	23.8%
i	12166	16.0%
e	11232	14.8%
a	10709	14.1%
d	8873	11.7%
n	2718	3.6%
g	2195	2.9%
l	2195	2.9%
m	2195	2.9%
t	1933	2.5%
Other values (4)	3589	4.7%

Uppercase Letter

Value	Count	Frequency (%)
M	6530	67.3%
S	1933	19.9%
C	836	8.6%
W	410	4.2%

Space Separator

Value	Count	Frequency (%)
	4913	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1359	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85538	93.2%
Common	6272	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	18024	21.1%
i	12166	14.2%
e	11232	13.1%
a	10709	12.5%
d	8873	10.4%
M	6530	7.6%
n	2718	3.2%
g	2195	2.6%
l	2195	2.6%
m	2195	2.6%
Other values (8)	8701	10.2%

Common

Value	Count	Frequency (%)
	4913	78.3%
/	1359	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	18024	19.6%
i	12166	13.3%
e	11232	12.2%
a	10709	11.7%
d	8873	9.7%
M	6530	7.1%
	4913	5.4%
n	2718	3.0%
g	2195	2.4%
l	2195	2.4%
Other values (10)	12255	13.3%

Housing_type
Categorical

IMBALANCE

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

House / apartment	8684
With parents	448
Municipal apartment	323
Rented apartment	144
Office apartment	76

Length

Max length	19
Median length	17
Mean length	16.806159
Min length	12

Characters and Unicode

Total characters	163171
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rented apartment
2nd row	House / apartment
3rd row	House / apartment
4th row	House / apartment
5th row	House / apartment

Common Values

Value	Count	Frequency (%)
House / apartment	8684	89.4%
With parents	448	4.6%
Municipal apartment	323	3.3%
Rented apartment	144	1.5%
Office apartment	76	0.8%
Co-op apartment	34	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	9261	33.0%
house	8684	30.9%
	8684	30.9%
with	448	1.6%
parents	448	1.6%
municipal	323	1.1%
rented	144	0.5%
office	76	0.3%
co-op	34	0.1%

Most occurring characters

Value	Count	Frequency (%)
t	19562	12.0%
a	19293	11.8%
e	18757	11.5%
	18393	11.3%
n	10176	6.2%
p	10066	6.2%
r	9709	6.0%
m	9261	5.7%
s	9132	5.6%
u	9007	5.5%
Other values (15)	29815	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	126351	77.4%
Space Separator	18393	11.3%
Uppercase Letter	9709	6.0%
Other Punctuation	8684	5.3%
Dash Punctuation	34	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	19562	15.5%
a	19293	15.3%
e	18757	14.8%
n	10176	8.1%
p	10066	8.0%
r	9709	7.7%
m	9261	7.3%
s	9132	7.2%
u	9007	7.1%
o	8752	6.9%
Other values (6)	2636	2.1%

Uppercase Letter

Value	Count	Frequency (%)
H	8684	89.4%
W	448	4.6%
M	323	3.3%
R	144	1.5%
O	76	0.8%
C	34	0.4%

Space Separator

Value	Count	Frequency (%)
	18393	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	8684	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	136060	83.4%
Common	27111	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	19562	14.4%
a	19293	14.2%
e	18757	13.8%
n	10176	7.5%
p	10066	7.4%
r	9709	7.1%
m	9261	6.8%
s	9132	6.7%
u	9007	6.6%
o	8752	6.4%
Other values (12)	12345	9.1%

Common

Value	Count	Frequency (%)
	18393	67.8%
/	8684	32.0%
-	34	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	163171	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	19562	12.0%
a	19293	11.8%
e	18757	11.5%
	18393	11.3%
n	10176	6.2%
p	10066	6.2%
r	9709	6.0%
m	9261	5.7%
s	9132	5.6%
u	9007	5.5%
Other values (15)	29815	18.3%

Occupation_type
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

Other	2994
Laborers	1724
Sales staff	959
Core staff	877
Managers	782
Other values (14)	2373

Length

Max length	21
Median length	20
Mean length	8.7819549
Min length	5

Characters and Unicode

Total characters	85264
Distinct characters	37
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Security staff
3rd row	Sales staff
4th row	Other
5th row	Accountants

Common Values

Value	Count	Frequency (%)
Other	2994	30.8%
Laborers	1724	17.8%
Sales staff	959	9.9%
Core staff	877	9.0%
Managers	782	8.1%
Drivers	623	6.4%
High skill tech staff	357	3.7%
Accountants	300	3.1%
Medicine staff	291	3.0%
Cooking staff	193	2.0%
Other values (9)	609	6.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
staff	3171	23.1%
other	2994	21.8%
laborers	1777	12.9%
sales	959	7.0%
core	877	6.4%
managers	782	5.7%
drivers	623	4.5%
high	357	2.6%
skill	357	2.6%
tech	357	2.6%
Other values (14)	1495	10.9%

Most occurring characters

Value	Count	Frequency (%)
r	9979	11.7%
e	9787	11.5%
s	8210	9.6%
a	8161	9.6%
t	7508	8.8%
f	6342	7.4%
	4040	4.7%
h	3708	4.3%
o	3393	4.0%
O	2994	3.5%
Other values (27)	21142	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	71329	83.7%
Uppercase Letter	9802	11.5%
Space Separator	4040	4.7%
Dash Punctuation	53	0.1%
Other Punctuation	40	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	9979	14.0%
e	9787	13.7%
s	8210	11.5%
a	8161	11.4%
t	7508	10.5%
f	6342	8.9%
h	3708	5.2%
o	3393	4.8%
i	2751	3.9%
n	2214	3.1%
Other values (11)	9276	13.0%

Uppercase Letter

Value	Count	Frequency (%)
O	2994	30.5%
L	1830	18.7%
C	1216	12.4%
S	1187	12.1%
M	1073	10.9%
D	623	6.4%
H	379	3.9%
A	300	3.1%
P	86	0.9%
W	40	0.4%
Other values (3)	74	0.8%

Space Separator

Value	Count	Frequency (%)
	4040	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	53	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81131	95.2%
Common	4133	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	9979	12.3%
e	9787	12.1%
s	8210	10.1%
a	8161	10.1%
t	7508	9.3%
f	6342	7.8%
h	3708	4.6%
o	3393	4.2%
O	2994	3.7%
i	2751	3.4%
Other values (24)	18298	22.6%

Common

Value	Count	Frequency (%)
	4040	97.7%
-	53	1.3%
/	40	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85264	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	9979	11.7%
e	9787	11.5%
s	8210	9.6%
a	8161	9.6%
t	7508	8.8%
f	6342	7.4%
	4040	4.7%
h	3708	4.3%
o	3393	4.0%
O	2994	3.5%
Other values (27)	21142	24.8%

Target
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.0 KiB

0	8426
1	1283

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9709
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Most occurring characters

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9709	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	9709	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9709	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8426	86.8%
1	1283	13.2%

Auto

Heatmap
Table

	Acc_length	Car	Education_type	Exited	Family_status	Geography	Housing_type	ID	Income_type	Kids	Occupation_type	Property	Target	Total_income	Unemployed	Years_employed	age	balance	cr_score	credit_card	gender	tenure	term_deposit
Acc_length	1.000	0.044	0.005	0.019	0.040	0.016	0.025	-0.004	0.019	-0.007	0.025	0.000	0.089	0.028	0.018	0.078	-0.006	-0.000	-0.008	0.000	0.000	0.022	0.011
Car	0.044	1.000	0.099	0.000	0.160	0.000	0.032	0.030	0.147	0.071	0.264	0.000	0.000	0.205	0.145	0.080	0.000	0.000	0.021	0.000	0.000	0.000	0.000
Education_type	0.005	0.099	1.000	0.014	0.051	0.000	0.048	0.025	0.098	0.000	0.177	0.022	0.019	0.112	0.142	0.030	0.000	0.000	0.000	0.010	0.012	0.000	0.000
Exited	0.019	0.000	0.014	1.000	0.023	0.170	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.008	0.000	0.000	0.374	0.138	0.087	0.000	0.105	0.021	0.000
Family_status	0.040	0.160	0.051	0.023	1.000	0.000	0.064	0.016	0.108	0.077	0.091	0.038	0.021	0.012	0.216	0.052	0.009	0.005	0.000	0.000	0.007	0.000	0.018
Geography	0.016	0.000	0.000	0.170	0.000	1.000	0.000	0.012	0.000	0.000	0.007	0.015	0.006	0.019	0.010	0.016	0.049	0.315	0.016	0.005	0.022	0.025	0.000
Housing_type	0.025	0.032	0.048	0.000	0.064	0.000	1.000	0.000	0.064	0.000	0.048	0.212	0.006	0.033	0.107	0.021	0.000	0.026	0.009	0.000	0.015	0.000	0.000
ID	-0.004	0.030	0.025	0.000	0.016	0.012	0.000	1.000	0.026	0.019	0.000	0.152	0.000	-0.009	0.035	-0.010	0.004	-0.011	0.002	0.017	0.000	-0.008	0.050
Income_type	0.019	0.147	0.098	0.000	0.108	0.000	0.064	0.026	1.000	0.069	0.376	0.086	0.000	0.095	0.994	0.222	0.000	0.000	0.000	0.006	0.000	0.000	0.000
Kids	-0.007	0.071	0.000	0.000	0.077	0.000	0.000	0.019	0.069	1.000	0.087	0.000	0.024	0.040	0.140	0.143	-0.001	-0.013	0.002	0.000	0.000	0.030	0.017
Occupation_type	0.025	0.264	0.177	0.000	0.091	0.007	0.048	0.000	0.376	0.087	1.000	0.061	0.000	0.097	0.688	0.116	0.021	0.000	0.000	0.000	0.015	0.000	0.000
Property	0.000	0.000	0.022	0.004	0.038	0.015	0.212	0.152	0.086	0.000	0.061	1.000	0.026	0.021	0.086	0.021	0.000	0.000	0.000	0.014	0.000	0.015	0.000
Target	0.089	0.000	0.019	0.000	0.021	0.006	0.006	0.000	0.000	0.024	0.000	0.026	1.000	0.041	0.022	0.000	0.000	0.000	0.009	0.013	0.000	0.000	0.000
Total_income	0.028	0.205	0.112	0.008	0.012	0.019	0.033	-0.009	0.095	0.040	0.097	0.021	0.041	1.000	0.139	0.172	-0.001	-0.011	0.017	0.000	0.000	-0.007	0.000
Unemployed	0.018	0.145	0.142	0.000	0.216	0.010	0.107	0.035	0.994	0.140	0.688	0.086	0.022	0.139	1.000	0.424	0.018	0.000	0.022	0.000	0.000	0.000	0.008
Years_employed	0.078	0.080	0.030	0.000	0.052	0.016	0.021	-0.010	0.222	0.143	0.116	0.021	0.000	0.172	0.424	1.000	-0.011	-0.011	0.023	0.011	0.000	-0.006	0.020
age	-0.006	0.000	0.000	0.374	0.009	0.049	0.000	0.004	0.000	-0.001	0.021	0.000	0.000	-0.001	0.018	-0.011	1.000	0.033	-0.005	0.013	0.025	-0.007	0.013
balance	-0.000	0.000	0.000	0.138	0.005	0.315	0.026	-0.011	0.000	-0.013	0.000	0.000	0.000	-0.011	0.000	-0.011	0.033	1.000	0.006	0.038	0.006	-0.009	0.000
cr_score	-0.008	0.021	0.000	0.087	0.000	0.016	0.009	0.002	0.000	0.002	0.000	0.000	0.009	0.017	0.022	0.023	-0.005	0.006	1.000	0.000	0.000	0.003	0.000
credit_card	0.000	0.000	0.010	0.000	0.000	0.005	0.000	0.017	0.006	0.000	0.000	0.014	0.013	0.000	0.000	0.011	0.013	0.038	0.000	1.000	0.000	0.024	0.000
gender	0.000	0.000	0.012	0.105	0.007	0.022	0.015	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.025	0.006	0.000	0.000	1.000	0.027	0.000
tenure	0.022	0.000	0.000	0.021	0.000	0.025	0.000	-0.008	0.000	0.030	0.000	0.015	0.000	-0.007	0.000	-0.006	-0.007	-0.009	0.003	0.024	0.027	1.000	0.000
term_deposit	0.011	0.000	0.000	0.000	0.018	0.000	0.000	0.050	0.000	0.017	0.000	0.000	0.000	0.000	0.008	0.020	0.013	0.000	0.000	0.000	0.000	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	ID	Exited	gender	age	Car	Property	Geography	cr_score	tenure	balance	Unemployed	Kids	Acc_length	Total_income	credit_card	Years_employed	Income_type	Education_type	Family_status	Housing_type	Occupation_type	Target
0	5008804	1	Female	42	1	1	Greece	619	2	0.00	0	0	15	427500.0	1	12.435574	Working	Higher education	Civil marriage	Rented apartment	Other	1
1	5008806	0	Female	41	1	1	Spain	608	1	83807.86	0	0	29	112500.0	0	3.104787	Working	Secondary / secondary special	Married	House / apartment	Security staff	0
2	5008808	1	Female	42	0	1	Greece	502	8	159660.80	0	0	4	270000.0	1	8.353354	Commercial associate	Secondary / secondary special	Single / not married	House / apartment	Sales staff	0
3	5008812	0	Female	39	0	1	Greece	699	1	0.00	1	0	20	283500.0	0	0.000000	Pensioner	Higher education	Separated	House / apartment	Other	0
4	5008815	0	Female	43	1	1	Spain	850	2	125510.82	0	0	5	270000.0	1	2.105450	Working	Higher education	Married	House / apartment	Accountants	0
5	5008819	1	Male	44	1	1	Spain	645	8	113755.78	0	0	17	135000.0	1	3.269061	Commercial associate	Secondary / secondary special	Married	House / apartment	Laborers	0
6	5008825	0	Male	50	1	0	Greece	822	7	0.00	0	0	25	130500.0	1	3.019911	Working	Incomplete higher	Married	House / apartment	Accountants	1
7	5008830	1	Female	29	0	1	Netherlands	376	4	115046.74	0	0	31	157500.0	1	4.021985	Working	Secondary / secondary special	Married	House / apartment	Laborers	1
8	5008834	0	Male	44	0	1	Greece	501	4	142051.07	0	1	44	112500.0	0	4.435409	Working	Secondary / secondary special	Single / not married	House / apartment	Other	0
9	5008836	0	Male	27	1	1	Greece	684	2	134603.88	0	3	24	270000.0	1	3.184186	Working	Secondary / secondary special	Married	House / apartment	Laborers	0

	ID	gender	age	Car	Property	Geography	cr_score	tenure	balance	Unemployed	Kids	Acc_length	Total_income	credit_card	Years_employed	Income_type	Education_type	Family_status	Housing_type	Occupation_type	Target
9699	5142973	Female	23	0	0	Greece	763	2	0.00	0	1	18	180000.0	1	2.535302	Working	Secondary / secondary special	Married	House / apartment	Laborers	1
9700	5143578	Female	36	1	0	Spain	563	4	143680.47	0	0	14	157500.0	1	2.628391	Working	Incomplete higher	Single / not married	With parents	Drivers	1
9701	5145690	Male	38	0	1	Spain	678	3	124483.53	1	0	17	306000.0	1	0.000000	Pensioner	Higher education	Married	House / apartment	Other	1
9702	5145760	Female	31	1	0	Spain	644	5	86006.30	0	0	10	135000.0	1	13.235042	Working	Higher education	Married	House / apartment	Other	1
9703	5146078	Female	43	0	1	Netherlands	682	7	111094.05	0	1	48	108000.0	1	3.099311	Working	Secondary / secondary special	Single / not married	House / apartment	Sales staff	1
9704	5148694	Male	22	0	0	Greece	625	9	0.00	0	0	20	180000.0	1	0.542106	Pensioner	Secondary / secondary special	Civil marriage	Municipal apartment	Laborers	1
9705	5149055	Male	36	0	1	Spain	733	1	0.00	0	0	19	112500.0	0	7.375921	Commercial associate	Secondary / secondary special	Married	House / apartment	Other	1
9706	5149729	Female	30	1	1	Greece	512	6	0.00	0	0	21	90000.0	1	4.711938	Working	Secondary / secondary special	Married	House / apartment	Other	1
9707	5149838	Female	41	0	1	Greece	642	7	115171.71	0	0	32	157500.0	1	3.627727	Pensioner	Higher education	Married	House / apartment	Medicine staff	1
9708	5150337	Female	22	0	1	Netherlands	737	10	111543.26	0	0	13	112500.0	0	3.266323	Working	Secondary / secondary special	Single / not married	Rented apartment	Laborers	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks